# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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# See the License for the specific language governing permissions and
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from npu_bridge.npu_init import *
from avod.builders.dataset_builder import DatasetBuilder

from scripts.preprocessing import gen_mini_batches
from scripts.preprocessing import gen_label_clusters


def main():

    dataset_config = DatasetBuilder.copy_config(DatasetBuilder.KITTI_UNITTEST)
    dataset_config.data_split = "trainval"
    unittest_dataset = DatasetBuilder.build_kitti_dataset(dataset_config)

    gen_label_clusters.main(unittest_dataset)
    gen_mini_batches.main(unittest_dataset)


if __name__ == '__main__':
    main()

